Triple
T16387465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secular Franciscans |
E397959
|
entity |
| Predicate | isPresentIn |
P57262
|
FINISHED |
| Object | multiple continents |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: multiple continents | Statement: [Secular Franciscans, isPresentIn, multiple continents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPresentIn Context triple: [Secular Franciscans, isPresentIn, multiple continents]
-
A.
meetsInPresenceOf
Indicates that two or more entities meet or interact while another specified entity is present as a witness, chaperone, or contextual participant.
-
B.
includesElement
Indicates that one collection, set, or structure contains a specified element as a member or component.
-
C.
existsWithin
chosen
Indicates that one entity is located inside the spatial, temporal, or conceptual boundaries of another entity.
-
D.
presentOn
Indicates that one entity is physically located on the surface or within the bounds of another entity.
-
E.
fieldPresenceIn
Indicates that something exists or is located within a particular field, area, or domain.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.